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Jing Huang; Yujie Hu – Journal of Geography in Higher Education, 2025
This systematic review examines the empirical research conducted in the past decade to investigate the application of immersive Virtual Reality (IVR) in geography higher education. Our analysis includes 29 empirical studies published across 25 peer-reviewed articles and delves into IVR applications from four key perspectives: the temporal and…
Descriptors: Computer Simulation, Computer Uses in Education, Geography Instruction, College Instruction
Inga Laukaityte; Marie Wiberg – Practical Assessment, Research & Evaluation, 2024
The overall aim was to examine effects of differences in group ability and features of the anchor test form on equating bias and the standard error of equating (SEE) using both real and simulated data. Chained kernel equating, Postratification kernel equating, and Circle-arc equating were studied. A college admissions test with four different…
Descriptors: Ability Grouping, Test Items, College Entrance Examinations, High Stakes Tests
Qiang Fu; Li Liu; Guofu Wang; Jing Yu; Shiyuan Fu – Journal of Chemical Education, 2023
Commonly used methods to simulate the oxidation-reduction (redox) titration curves include the three-step method and the rigorous method. The simple three-step method simulates the redox titration curve with the assumption that the reaction is complete, which is widely used in undergraduate quantitative analysis courses. For the rigorous…
Descriptors: Chemistry, Simulation, College Science, Undergraduate Students
Taber, Keith S. – Chemistry Education Research and Practice, 2020
This comment discusses some issues about the use and reporting of experimental studies in education, illustrated by a recently published study that claimed (i) that an educational innovation was effective despite outcomes not reaching statistical significance, and (ii) that this refuted the findings of an earlier study. The two key issues raised…
Descriptors: Chemistry, Educational Innovation, Statistical Significance, Statistical Inference
Zulfa; Nusi, Ahmad; Ananda, Azwar; Efi, Agusti; Pernantah, Piki Setri – International Journal of Instruction, 2022
This study aims to find a simulation project-based learning model for the Minangkabau Natural Culture subject in higher education. This research method uses the research and development (R and D) development procedure using the Plomp development design that goes through 3 steps, namely: Preliminary Research, Prototyping Phase, and Assessment…
Descriptors: Student Projects, Active Learning, Higher Education, Models
Bachner, Jennifer; O'Byrne, Sarah – Journal of Political Science Education, 2021
At both the undergraduate and graduate level, an increasing number of students are completing their coursework online or in hybrid formats. As online learning grows and evolves, and new teaching tools emerge, it is useful to review approaches for effective teaching in this modality. This paper focuses, in particular, on proven tools in online…
Descriptors: Mathematics Skills, Statistical Analysis, Online Courses, Instructional Effectiveness
Sales, Adam C.; Hansen, Ben B. – Journal of Educational and Behavioral Statistics, 2020
Conventionally, regression discontinuity analysis contrasts a univariate regression's limits as its independent variable, "R," approaches a cut point, "c," from either side. Alternative methods target the average treatment effect in a small region around "c," at the cost of an assumption that treatment assignment,…
Descriptors: Regression (Statistics), Computation, Statistical Inference, Robustness (Statistics)
Paul J. Walter; Edward Nuhfer; Crisel Suarez – Numeracy, 2021
We introduce an approach for making a quantitative comparison of the item response curves (IRCs) of any two populations on a multiple-choice test instrument. In this study, we employ simulated and actual data. We apply our approach to a dataset of 12,187 participants on the 25-item Science Literacy Concept Inventory (SLCI), which includes ample…
Descriptors: Item Analysis, Multiple Choice Tests, Simulation, Data Analysis
Iscaro, Valentina; Castaldi, Laura; Sepe, Enrica – Industry and Higher Education, 2017
With a view to enhancing the entrepreneurial activity of universities, the authors explore the concepts and features of the "experimental lab", presenting it as an effective means of supporting entrepreneurial training programmes and helping students to turn ideas into actual start-ups. In this context, the term experimental lab refers…
Descriptors: Laboratory Experiments, Entrepreneurship, Training, Simulation
Liang, Yo-Wen; Lee, An-Sheng; Liu, Shuo-Fang – EURASIA Journal of Mathematics, Science & Technology Education, 2016
The difficulty of Virtual Reality application in industrial design education and learning is VR engineers cannot comprehend what the important functions or elements are for students. In addition, a general-purpose VR usually confuses the students and provides neither good manipulation means nor useful toolkits. To solve these problems, the…
Descriptors: Computer Simulation, Industrial Education, Models, Computer Assisted Design
Kennelly, Emily; Osborn, Debra; Reardon, Robert; Shetty, Becka – International Journal of ePortfolio, 2016
This study examined whether or not students using a career ePortfolio, including a matrix for identifying and reflecting on transferrable skills, enabled them to rate their skills more confidently and positively after a simulated (mock) job interview. Three groups were studied: those completing the skills matrix in the ePortfolio; those using the…
Descriptors: Portfolios (Background Materials), Electronic Publishing, Case Studies, College Students
Terzidou, Theodouli; Tsiatsos, Thrasyvoulos; Miliou, Christina; Sourvinou, Athanasia – IEEE Transactions on Learning Technologies, 2016
This study proposes and applies a novel concept for an AI enhanced serious game collaborative environment as a supplementary learning tool in tertiary education. It is based on previous research that investigated pedagogical agents for a serious game in the OpenSim environment. The proposed AI features to support the serious game are the…
Descriptors: Educational Games, Computer Games, Artificial Intelligence, Student Attitudes
Tay, Louis; Huang, Qiming; Vermunt, Jeroen K. – Educational and Psychological Measurement, 2016
In large-scale testing, the use of multigroup approaches is limited for assessing differential item functioning (DIF) across multiple variables as DIF is examined for each variable separately. In contrast, the item response theory with covariate (IRT-C) procedure can be used to examine DIF across multiple variables (covariates) simultaneously. To…
Descriptors: Item Response Theory, Test Bias, Simulation, College Entrance Examinations
Orman, Evelyn K. – International Journal of Music Education, 2016
This study examined the effects of virtual reality immersion with audio on eye contact, directional focus and focus of attention for novice wind band conductors. Participants (N = 34) included a control group (n = 12) and two virtual reality groups with (n = 10) and without (n = 12) head tracking. Participants completed conducting/score study…
Descriptors: Novices, Musicians, Musical Instruments, Computer Simulation
Hunt, Maree J.; Macaskill, Anne C. – Teaching of Psychology, 2017
Taking an ethical approach to using nonhuman animals in teaching requires assessment of the learning benefits of using animals and how these compare to the benefits of alternative teaching practices. It is also important to consider whether students have ethical reservations about completing exercises with animals. We compared upper level…
Descriptors: Student Attitudes, Active Learning, Animals, Psychology